The National Supercomputing Internet Platform recently announced the launch of the "AI Ecosystem Partner Acceleration Program," offering a series of benefits for enterprise users, including three months of free access to the DeepSeek API and supporting it with a computing power resource pool of ten million core hours. It is reported that the platform has completed the deployment of the full version of the DeepSeek model image. Currently, the platform has achieved interconnection with over 20 supercomputing and intelligent computing centers across 14 provinces, aggregating over 6,500 types of computing products, including nearly 2 AI model services.

IBM recently announced that its AI development platform watsonx.ai now supports the DeepSeek-R1 distilled versions of the Llama 3.18B and Llama 3.370B models. DeepSeek optimizes multiple Llama and Qwen variants using knowledge distillation technology, leveraging data from the R1 model to further enhance model performance. On the watsonx.ai platform, users can utilize DeepSeek in two ways.

Recently, Huggingface, the world's largest open source AI community, released the latest Open LLM Leaderboard. The results show that all ten of the top-ranked open source large models are derivative models that have been fine-tuned based on Alibaba Tongyi Qwen's (Qwen) open-source model. This achievement marks Qwen's dominant position in the open-source AI field and further enhances its global influence. The Open LLM Leaderboard is widely...

Alibaba Cloud Tongyi has open-sourced a new visual model Qwen2.5-VL, launching three sizes: 3B, 7B, and 72B. The flagship model Qwen2.5-VL-72B won the championship in visual understanding across 13 authoritative evaluations, surpassing GPT-4o and Claude 3.5. According to Alibaba Cloud's official introduction, the new Qwen2.5-VL can analyze image content more accurately and support breakthrough video understanding of over 1 hour. This model can search for specific events in videos, and provide insights on...

Today, the Alibaba Cloud Tongyi team officially released the new mathematical reasoning process reward model Qwen2.5-Math-PRM. This model offers two sizes, 72B and 7B, with performance significantly outperforming similar open-source process reward models, especially excelling in identifying reasoning errors. The 7B version of Qwen2.5-Math-PRM astonishingly surpasses the widely popular GPT-4o, marking an important step in Alibaba Cloud's research and development of reasoning models.

The Alibaba Qwen team recently published a paper titled 'Lessons Learned from the Development of Process Reward Models in Mathematical Reasoning' and introduced two new models in the Qwen2.5-Math-PRM series, featuring 7B and 72B parameters respectively. These models break through the limitations of the existing PRM framework in mathematical reasoning, significantly improving the accuracy and generalization ability of reasoning models through innovative techniques. Mathematical reasoning has long been a major challenge for large language models (LLMs), especially regarding errors in intermediate reasoning steps.

Recently, Alibaba Damo Academy launched a multi-modal large language model named Valley 2, designed for e-commerce scenarios. It aims to enhance performance across various fields and expand the application boundaries of e-commerce and short video scenarios through a scalable vision-language architecture. Valley 2 utilizes Qwen 2.5 as its LLM backbone, paired with the SigLIP-384 visual encoder, incorporating MLP layers and convolution for efficient feature transformation.

The Qwen team recently announced the open-source release of their latest multimodal reasoning model, QVQ, marking an important step forward in the capabilities of artificial intelligence in visual understanding and complex problem-solving. This model is based on Qwen2-VL-72B and aims to enhance AI reasoning capabilities by combining language and visual information. In the MMMU evaluation, QVQ achieved a high score of 70.3, demonstrating significant performance improvements over Qwen2-VL-72B-Instruct in several math-related benchmark tests.

The Alibaba Cloud Bairen Model Service Platform recently launched the 'Real-Time Audio and Video Interaction' feature, enabling users to easily build multi-modal AI applications without the need for programming knowledge. This new feature allows users to quickly integrate AI models into Web, iOS, and Android applications and share them with others. Users can create intelligent agent applications through simple steps: first, create a new intelligent agent application, then select and configure the required text, speech, or visual understanding models on the Alibaba Cloud Bairen platform. The platform offers over 200 large models, including